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of complex dairy farm systems using Python. This role focuses on translating real-time farm data—including new energy monitoring feeds—into farm-specific 'what-if' scenarios. The goal is to provide farmers and
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software as python packages Reporting findings and methods in conference and journal papers Your profile Masters, Diploma or equivalent degree in IT/computer science/statistics/applied mathematics/data
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citizens from Designated Countries will not be accepted at this time, unless they are Legal Permanent Residents of the United States. A complete list of Designated Countries can be found at: https
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-based models for biological and medical image analysis. Processing, interpreting, and presenting experimental data (using tools such as SPSS, and Python Pandas). Contributing to scientific publications
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writing of publications and participation in international conferences. Consult the detailed job description Where to apply Website https://institutminestelecom.recruitee.com/o/post-doctorat-en-vision-par
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expertise with data visualization, simulation, and/or statistical methods that support our current course offerings in Data Science • Ability to teach courses using Python and R • Demonstrated research
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engineeringEducation LevelMaster Degree or equivalent Skills/Qualifications Programming skills in Python and Matlab. Experience on CST Studio Experience on ADS/Momentum Hands-on PCB design skills Specific Requirements
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various public health topics and may include building R Shiny or other dashboards, recurring data reports, and automated data pipelines. Write programs in R and/or Python for data preparation, standard
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to empower independent decision-making Administer applications Provide high level reporting to departments across the university Other duties as assigned Unit URL https://www.uidaho.edu/financial-aid Position
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hydrodynamic coastal flow fields using SWAN, SWASH, SCHISM or a comparable model; writing python code to advect virtual macroplastic items in these flow fields using the Parcels-code.org framework; exploring